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Romano Roth

Romano Roth Add us as a preferred source on Google

Mastodon @romanoroth@fosstodon.org
⚔ Compare ☆ Follow Own this channel?
🔄 Data last refreshed 1 month ago
Followers
86
Account age
3 yrs
🎁 Free analysisfor Romano Roth
🕵️Fake Followers CheckReal-audience % & bot risk→ 📊Engagement rateBenchmarked vs. peers→ 💰What they chargeFair sponsored-post price→

Known for

"Product teams with zero software engineers." The new Team Topologies model for agentic work. The catch: the engineers didn't vanish. They moved into the platform, the guardrails, the eval frameworks, the sovereign inference. The real question isn't whether teams need engineers. It's whether your platform is mature enough to carry the ones you moved. https://blog.owulveryck.info/2026/06/24/who-doe3 views "Product teams with zero software engineers." The new Team Topologies model for agentic work. The catch: the engineers didn't vanish. They moved into the platform, the guardrails, the eval frameworks, the sovereign inference. The real question isn't whether teams need engineers. It's whether your platform is mature enough to carry the ones you moved. https://blog.owulveryck.info/2026/06/24/who-doe Three words kill more AI projects than any failed model: "We do AI now." The moment it's said, the thinking goes big. A lighthouse project. Months of scoping before anyone names the problem. The bottleneck was never the tech. It's the organization. Start small: one real problem, live in weeks, and if it fails it hurts no one. Episode 1 of Prompt & Proper, my new German AI podcast with Steffen Ochs1 views Three words kill more AI projects than any failed model: "We do AI now." The moment it's said, the thinking goes big. A lighthouse project. Months of scoping before anyone names the problem. The bottleneck was never the tech. It's the organization. Start small: one real problem, live in weeks, and if it fails it hurts no one. Episode 1 of Prompt & Proper, my new German AI podcast with Steffen Ochs Multi-agent AI systems fail for the same reasons badly run companies do. A new survey of ~60 agent benchmarks cites the study on why: 14 failure modes in three buckets. Unclear roles. Agents misaligned. Nobody owning verification. Read that without the word "agent." It's every dysfunctional org, rebuilt in software. You don't fix coordination with a smarter model. You fix it with roles, feedback l1 views Multi-agent AI systems fail for the same reasons badly run companies do. A new survey of ~60 agent benchmarks cites the study on why: 14 failure modes in three buckets. Unclear roles. Agents misaligned. Nobody owning verification. Read that without the word "agent." It's every dysfunctional org, rebuilt in software. You don't fix coordination with a smarter model. You fix it with roles, feedback l Friday Fun 🤣 AI that does what? #fun #humor #meme #fridayfun #fridayhumor1 views Friday Fun 🤣 AI that does what? #fun #humor #meme #fridayfun #fridayhumor

📊 Post engagement

Recent posts · likes + reposts
Jul 11latest
1
Avg engagement / post
1–1
Typical post (engagement)
1.2%
Engagement vs followers
74/100
Very consistent reach
Nov 2022
On Mastodon since
Half of recent posts land between 1 and 1 likes + reposts (median 1) — a dependable floor a sponsored post can count on.

🔥 Top post: "Product teams with zero software engineers." The new Team Topol · 3 likes + reposts

📊 Activity & format

Posting cadence
8.4 / week
Toots daily — consistently active for a campaign window.
Content mix
Mostly images
Recent: 0 text · 11 image · 1 video.
Follower / following
2×
Follows 43 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
🔥 Top post "Product teams with zero software engineers." The new Team Topologies model for agentic work. The catch: the engineers didn't vanish. They moved into the platform, the guardrails, the eval frameworks, the sovereign inference. The real question isn't whether teams need engineers.… ★ 3
Ask your AI the same question with a typo, and it may route you to a different model. A Google DeepMind paper: routing is judged on accuracy and cost, but that misses whether it's meaningful. - 112 models scored less diverse than 15 hand-p… Three words kill more AI projects than any failed model: "We do AI now." The moment it's said, the thinking goes big. A lighthouse project. Months of scoping before anyone names the problem. The bottleneck was never the tech. It's the orga… ★ 1 Multi-agent AI systems fail for the same reasons badly run companies do. A new survey of ~60 agent benchmarks cites the study on why: 14 failure modes in three buckets. Unclear roles. Agents misaligned. Nobody owning verification. Read tha… ★ 1 The bottleneck was never the model. A study of 5,000 codebases: healthy code cuts AI refactoring failures 15-30%. Same model, same prompt. Only the code changed. Discipline beats intelligence, now with numbers. Edition 7 of The CAIO: the c… A Google DeepMind researcher just published a formal argument that AI cannot be conscious, ever. Not biology, structure. Computation is a description, not a process. A conscious mapmaker has to exist before symbols can mean anything. AI is… Friday Fun 🤣 AI that does what? #fun #humor #meme #fridayfun #fridayhumor ★ 1 Your test suite is green. Your test data is fiction. Guess which one production believes. A suite built on stale or invented data reports green while real edge cases wait in production. Test data is a feedback loop, and a broken one lies t… ★ 1 Two-thirds of executives say they use AI. Actual usage: 1.5 hours a week, and 90% of firms report zero impact. Same year, same tools, Trail of Bits went from 5% buy-in to auditors finding 200 bugs a week. The difference was never the model… For three years, "the great flattening" meant middle managers cut while the top stayed put. The 2026 LeadDev report (600 leaders): where roles were cut, upper management went from 13% to 23% in two years. The wave is climbing. My read: thi… By 2029, the AI bill per engineer could hit $596k, 230% of their salary. That's the bull case from Tomasz Tunguz. Anthropic already spends 2.3x payroll on compute. The median software firm spends $137 per engineer a year. A 680x gap. The s… ▶ Everyone is arguing about whether AI is a bubble. Wrong question. Both camps fight about demand, which is loud and can be faked. The 200-year signal is supply: real capital committed upfront. Railways, fiber, shale, all real tech, all bubb…

🐘 Community & instance

Home server
fosstodon.org
A open-source software server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 1 views per post.
📤Posts about 8.4× per week.

🕵️ Fake follower check

Estimated
43/100
Fair Credibility score
73%
Mixed Real audience
Medium Fake-follower risk
High Data confidence
  • Est. 73% real, active audience · Medium fake-follower risk.
  • Low engagement (~1.2% of followers engage each post) — a sign of an inflated or inactive audience.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Global Chief of Cybernetic Transformation | DevOps | Thought Leader | Coach | Trainer | Speaker | Lecturer | Organizer of DevOpsDays Zürich & DevOps Meetup Zürich | Bringing People, Process and Technology together

📸 Gallery

Ask your AI the same question with a typo, and it may route you to a different model. A Google DeepMind paper: routing is judged on accuracy and cost, but that misses whether it's meaningful. - 112 models scored less diverse than 15 hand-picked specialists. Size isn't diversity. - Routers that score best on accuracy collapse the moment you rephrase the query. A router can look perfect on the dashb Three words kill more AI projects than any failed model: "We do AI now." The moment it's said, the thinking goes big. A lighthouse project. Months of scoping before anyone names the problem. The bottleneck was never the tech. It's the organization. Start small: one real problem, live in weeks, and if it fails it hurts no one. Episode 1 of Prompt & Proper, my new German AI podcast with Steffen Ochs Multi-agent AI systems fail for the same reasons badly run companies do. A new survey of ~60 agent benchmarks cites the study on why: 14 failure modes in three buckets. Unclear roles. Agents misaligned. Nobody owning verification. Read that without the word "agent." It's every dysfunctional org, rebuilt in software. You don't fix coordination with a smarter model. You fix it with roles, feedback l The bottleneck was never the model. A study of 5,000 codebases: healthy code cuts AI refactoring failures 15-30%. Same model, same prompt. Only the code changed. Discipline beats intelligence, now with numbers. Edition 7 of The CAIO: the codebase that decides if AI helps, flattening reaching the C-suite, the $596k AI bill nobody can explain, and why AI only amplifies what is already there. 👉 https A Google DeepMind researcher just published a formal argument that AI cannot be conscious, ever. Not biology, structure. Computation is a description, not a process. A conscious mapmaker has to exist before symbols can mean anything. AI is the nervous system. Humans are the soul. That is the version I have been writing since 2024 in The Cybernetic Enterprise. Stop debating AI rights. Start buildin Friday Fun 🤣 AI that does what? #fun #humor #meme #fridayfun #fridayhumor Your test suite is green. Your test data is fiction. Guess which one production believes. A suite built on stale or invented data reports green while real edge cases wait in production. Test data is a feedback loop, and a broken one lies to you. In the AI era it's also a compliance firewall: never hand a production dump to an external model. Mask it, synthesize it, then let AI in. A practice from Two-thirds of executives say they use AI. Actual usage: 1.5 hours a week, and 90% of firms report zero impact. Same year, same tools, Trail of Bits went from 5% buy-in to auditors finding 200 bugs a week. The difference was never the model. Most companies handed out licenses. They built an operating system. The edge isn't AI. It's the organisation around it. https://tldrsec.com/p/how-we-made-trail

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

Jay :duckverified: Jay :duckverified: 17% char (green witch thing) char (green witch thing) 16% Michael Pedersen Michael Pedersen 15% Kotking Kotking 14% Steffen Weinreich Steffen Weinreich 11% TotoSec TotoSec 10%

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Jay :duckverified:
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char (green witch thing)
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Steffen Weinreich
Steffen Weinreich ✓
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